[HTML][HTML] Cyberbullying on social networking sites: A literature review and future research directions
Cyberbullying on social networking sites is an emerging societal issue that has drawn
significant scholarly attention. The purpose of this study is to consolidate the existing …
significant scholarly attention. The purpose of this study is to consolidate the existing …
Toxic comment detection in online discussions
Comment sections of online news platforms are an essential space to express opinions and
discuss political topics. In contrast to other online posts, news discussions are related to …
discuss political topics. In contrast to other online posts, news discussions are related to …
Hybrid ensemble approaches to online harassment detection in highly imbalanced data
Online harassment is a major threat to users of social media platforms, especially young
adults and women. It can cause mental illnesses and impacts deeply and negatively …
adults and women. It can cause mental illnesses and impacts deeply and negatively …
Generation and influence of eccentric ideas on social networks
Studying extreme ideas in routine choices and discussions is of utmost importance to
understand the increasing polarization in society. In this study, we focus on understanding …
understand the increasing polarization in society. In this study, we focus on understanding …
[PDF][PDF] Cyberbullying Detection and Recognition with Type Determination Based on Machine Learning.
Social media networks are becoming essential to our daily activities, and many issues are
due to this great involvement in our lives. Cyberbullying is a social media network issue, a …
due to this great involvement in our lives. Cyberbullying is a social media network issue, a …
Detecting troll tweets in a bilingual corpus
During the past several years, a large amount of troll accounts has emerged with efforts to
manipulate public opinion on social network sites. They are often involved in spreading …
manipulate public opinion on social network sites. They are often involved in spreading …
Author detection: Analyzing tweets by using a Naïve Bayes classifier
R Abascal-Mena… - Journal of intelligent & …, 2020 - content.iospress.com
In the context of digital social media, where users have multiple ways to obtain information, it
is important to have tools to detect the authorship within a corpus supposedly created by a …
is important to have tools to detect the authorship within a corpus supposedly created by a …
Automatic detection of nastiness and early signs of cyberbullying incidents on social media
NS Samghabadi - 2020 - search.proquest.com
Although social media has made it easy for people to connect on an unlimited virtual space,
it has also opened doors to people who misuse it to bully others. Nowadays, abusive …
it has also opened doors to people who misuse it to bully others. Nowadays, abusive …
[HTML][HTML] Playing HAVOK on the Chaos Caused by Internet Trolls
Trump supporting Twitter posting activity from right-wing Russian trolls active during the
2016 United States presidential election was analyzed at multiple timescales using a …
2016 United States presidential election was analyzed at multiple timescales using a …
Accidental Collectives
S Carta - How Computers Create Social Structures: Accidental …, 2024 - Springer
This chapter presents an insight into how collectives are built around the use of online apps
and social networks. The chapter explores how large collectives emerge as the accidental …
and social networks. The chapter explores how large collectives emerge as the accidental …